Towards Rule Learning Approaches to Instance-based Ontology Matching

Janssen, Frederik ; Fallahi, Faraz ; Noessner, Jan ; Paulheim, Heiko

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Document Type: Conference or workshop publication
Year of publication: 2012
Book title: KNOW@LOD 2012, Knowledge Discovery and Data Mining Meets Linked Open Data : proceedings of the First International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data
The title of a journal, publication series: CEUR Workshop Proceedings
Volume: 868
Page range: 13-18
Conference title: First international workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (Know@LOD)
Location of the conference venue: Heraklion, Greece
Date of the conference: May 27, 2012
Publisher: Völker, Johanna
Place of publication: Aachen, Germany
Publishing house: RWTH Aachen
ISSN: 1613-0073
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Keywords (English): Rule Learning , Ontology Matching , Instanced-based
Abstract: Ontology matching approaches have mostly worked on the schema level so far. With the advent of Linked Open Data and the availability of a massive amount of instance information, instance-based approaches become possible. This position paper discusses approaches and challenges for using those instances as input for machine learning algorithms, with a focus on rule learning algorithms, as a means for ontology matching.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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